Image encryption based on convolution operation in the gyrator transform domain

Daza, Sandra M.; Vega, Fabio; Matos, Lorenzo; Moreno, Cesar Torres; Dı́az, Mario; Daza, Yailth Morales

doi:10.1109/iecon.2012.6388515

Cited by 7 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When the convolution filter is applied, a new smooth, fuzzy or blurry image is obtained, it is possible to obtain edge detection. The convolution filter is also called convolution kernel because there exists a singular matrix to obtain different image transformation [1,2].…”

Section: The Convolution Filtermentioning

confidence: 99%

Real Time Hardware Accelerator for Image Filtering

Ortega-Cisneros

Carrazco-Díaz

de-la-Crúz

et al. 2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

View full text Add to dashboard Cite

The image processing nowadays is a field in development, many image filtering algorithms are tested every day; however, the main hurdles to overcome are the difficulty of implementation or the time response in a general purpose processors. When the amount of data is too big, a specific hardware accelerator is required because a software implementation or a generic processor is not fast enough to respond in real time. In this paper optimal hardware implementation is proposed for extracting edges and noise reduction of an image in real time. Furthermore, the hardware configuration is flexible with the ability to select between power and area optimization or speed and performance. The results of algorithms implementation are reported.

show abstract

Section: The Convolution Filtermentioning

confidence: 99%

Real Time Hardware Accelerator for Image Filtering

Ortega-Cisneros

Carrazco-Díaz

de-la-Crúz

et al. 2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

View full text Add to dashboard Cite

show abstract

“…Chaotic sequence with random transformation of random seeds of the cloud model, repeated operation produces uncorrelated multiple sets of dynamic chaotic sequences, and it increases the chaotic randomness, expands the key space, and increases the chaotic range. Using hybrid chaotic sequences to scramble image pixel points spliced by RGB components, and then combining matrix convolution operations in convolutional neural networks [31], the matrix convolution operation is used to permute the pixel points, and enhance the anti-attack ability of the ciphertext. Finally, XOR operation diffuses pixels with the chaotic sequence and the pre-adjacent pixel values, which achieves the overall design of position scrambling, numerical transformation, and diffusion of the image encryption process.…”

Section: Introductionmentioning

confidence: 99%

Color Image Encryption Algorithm Based on Dynamic Chaos and Matrix Convolution

Wei

Chen

et al. 2020

IEEE Access

View full text Add to dashboard Cite

This paper proposes a color image encryption algorithm based on a cloud model Fibonacci chaotic system, as well as a matrix convolution operation that can protect image content effectively and safely. The algorithm combines the cloud model with the generalized Fibonacci, creating a new complex chaotic system that realizes the dynamic random variation of chaotic sequences. The chaotic sequence is used to scramble the pixel coordinates of the mosaic images of the R, G, and B components of the color image. Then, the chaotic sequence value is used as a matrix convolution cloud algorithm that alternately updates the input value of the matrix convolution operation and the pixel value to obtain the permutation transformation of the original pixel value. Finally, the pixel values of the replacement and cloud model Fibonacci chaotic sequence and the pixel values of the front (rear) adjacent pixel points are subjected to a two-way exclusive XOR operation. Realizing the change of the arbitrary pixel value causes a chain transformation of the pixel values of all of the pixel points, and sequentially generates an encrypted image. Experiments show that the histogram of the encrypted image is smoother and adjacent pixels of the image have low correlation. In addition, this algorithm can resist attack experiments such as differential attack, select plaintext attack and noise attack and provides high encryption security, high anti-interference, and strong robustness. The dynamic chaotic system is used to realize the color image encryption of the dynamic key, and the encryption algorithm has higher security and the validity of the algorithm.

show abstract

“…Convolution is an operation between two functions which produces the altered version of one of the function [14]. Convolution includes the application such as image and signal processing, electrical engineering, computer vision, differential equations, probability and statistics [35].…”

Section: Introductionmentioning

confidence: 99%

Convoluted Rubik's encoded quantum polarized-a secure DICOM image

Praveenkumar

Priya

Thenmozhi

et al. 2016

2016 International Conference on Computer Communication and Informatics (ICCCI)

View full text Add to dashboard Cite

nowadays information is shared through online resources. It is necessary to provide security to the shared information. To maintain the secrecy of the information shared various techniques are used. Enabling multiple encryptions will disable the interloper to recover the information and to strengthen the security multi fold. Multiple Encryption are performed by shifting the particular block of the image using quantum polarization states, then the shifted output are coded using Convolution encoder and finally encrypted using Rubik's encryption algorithm. Result analysis was performed for DICOM images based on the statistical and security analysis.

show abstract

Image encryption based on convolution operation in the gyrator transform domain

Cited by 7 publications

References 8 publications

Real Time Hardware Accelerator for Image Filtering

Real Time Hardware Accelerator for Image Filtering

Color Image Encryption Algorithm Based on Dynamic Chaos and Matrix Convolution

Convoluted Rubik's encoded quantum polarized-a secure DICOM image

Contact Info

Product

Resources

About